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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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neuroscience and medicine. However, candidates without prior exposure to cell biology, and specifically platelet biology and haemostasis, are expected to rapidly acquire the necessary domain knowledge and be
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year-end. You will engage in cutting-edge research projects, collaborate with leading experts, and contribute to the advancement of knowledge in crystal engineering. We have links with The Newcastle upon
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of language, epistemology, metaethics, metaphysics, conceptual engineering, philosophical methodology Teaching experience Excellent knowledge of English (C1) Knowledge of German or willingness to acquire
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to cell biology, and specifically platelet biology and haemostasis, are expected to rapidly acquire the necessary domain knowledge and be interested in building a career in the field. The postholder will
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approach, the School aims to answer fundamental questions about biology in health and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a
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blotting, microscopy, and drug/compound co-treatment in cellular assays Experience in antibiotic drug discovery You must also: Hold a PhD/DPhil in medicinal chemistry and chemical biology, together
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(within five years) in biotechnology, molecular biology, biochemistry, or a related field. The candidate should have sound knowledge and skills in molecular biology, including knowhow on relevant methods
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
recommendations for the effective adoption of these solutions. You should possess a relevant PhD/DPhil (e.g. in Design, Business, Engineering or a related discipline) and sufficient specialist knowledge in
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departments with a wide range of expertise and interests. Using a bench to bedside approach, the School aims to answer fundamental questions about biology in health and disease and apply this knowledge